The Data Analysis for the Influence of Cross-cultural Training on the Adaptability of Foreign Workers

Shu-Chin Wang, Wei-Shu Hsiung, Yi-Syuan Lin, Rong-Chung Chen, Hsin-Hung Pan
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Abstract

Industrialization has brought many foreign workers into a country, and this situation is an inevitable event. The inflow of foreign workers may help to resolve unnecessary vacancies rejected by local workers. However, the influx of foreign workers has actually brought many effects that affect the country’s economic growth. With the booming economy in Taiwan, the industrial structure is undergoing more and more changes. Because foreign workers are different from our culture, education and training programs should be fully prepared. Therefore, while training foreign workers, there should be a concept of "intercultural training." Because data analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. Therefore, this study will focus on "intercultural training" for foreign workers. This study used relationship analysis, factor analysis and regression analysis as statistical tools. The study found that ethnic cultural differences and cross-cultural training have had a positive impact on overseas adoption of foreign workers. This research hopes that this research can provide better education, training, acceptance, and more reference for government, enterprises, human resources agents and other related units to find comparable work talents.
跨文化培训对外籍员工适应性影响的数据分析
工业化给一个国家带来了许多外国工人,这种情况是不可避免的。外国工人的流入可能有助于解决本地工人拒绝的不必要的空缺。然而,外国工人的涌入实际上带来了许多影响国家经济增长的影响。随着台湾经济的蓬勃发展,产业结构正在发生越来越多的变化。由于外籍工人与我们的文化不同,教育和培训计划要做好充分的准备。因此,在培训外籍员工的同时,应该有一个“跨文化培训”的概念。因为数据分析是系统地应用统计和/或逻辑技术来描述和说明、浓缩和重述以及评估数据的过程。因此,本研究将重点关注外籍员工的“跨文化培训”。本研究采用关系分析、因子分析和回归分析作为统计工具。研究发现,民族文化差异和跨文化培训对外国工人的海外收养产生了积极影响。本研究希望本研究能为政府、企业、人力资源代理等相关单位寻找可比较的工作人才提供更好的教育、培训、接纳和更多的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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